[{"content":"My first post on the new site. Got tired of my previous website and wanted something simpler — a clean place to write without all the maintenance overhead.\nThis is built with Hugo and the PaperMod theme, deployed via GitHub Actions to GitHub Pages. The whole thing fits in a single config file and a folder of Markdown posts. That\u0026rsquo;s the kind of complexity I can live with.\nWhat I\u0026rsquo;ll write about Mostly things I\u0026rsquo;m working on or thinking through:\nAI \u0026amp; tooling — building workflows, experimenting with LLMs, notes on what actually works Hackathons — projects, lessons learned, the inevitable last-minute debugging sessions Math puzzles — the kind that keep you up at night for the right reasons Essays — thinking out loud on topics I want to understand better No promises on frequency. Quality over quantity.\nCiao.\n","permalink":"https://arvind6599.github.io/posts/hello_world/","summary":"\u003cp\u003eMy first post on the new site. Got tired of my previous website and wanted something simpler — a clean place to write without all the maintenance overhead.\u003c/p\u003e\n\u003cp\u003eThis is built with \u003ca href=\"https://gohugo.io/\"\u003eHugo\u003c/a\u003e and the \u003ca href=\"https://github.com/adityatelange/hugo-PaperMod\"\u003ePaperMod\u003c/a\u003e theme, deployed via GitHub Actions to GitHub Pages. The whole thing fits in a single config file and a folder of Markdown posts. That\u0026rsquo;s the kind of complexity I can live with.\u003c/p\u003e\n\u003ch2 id=\"what-ill-write-about\"\u003eWhat I\u0026rsquo;ll write about\u003c/h2\u003e\n\u003cp\u003eMostly things I\u0026rsquo;m working on or thinking through:\u003c/p\u003e","title":"Hello World"},{"content":"A computer vision system for detecting and tracking predator-prey dynamics in video. Built on top of YOLOv7 with custom fine-tuning for wildlife scenarios.\nLive demo: arvind6599.github.io/PredatorPreyWebsite\nWhat it does Detects and classifies animals in video frames in real time Tracks movement and infers predator-prey relationships across frames Deployed as a web app with a clean interface for uploading and analyzing footage Stack Model: YOLOv7 (fine-tuned on custom dataset) Training: PyTorch Deployment: GitHub Pages + Python backend ","permalink":"https://arvind6599.github.io/projects/predator-prey-visual-intelligence/","summary":"\u003cp\u003eA computer vision system for detecting and tracking predator-prey dynamics in video. Built on top of YOLOv7 with custom fine-tuning for wildlife scenarios.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLive demo:\u003c/strong\u003e \u003ca href=\"https://arvind6599.github.io/PredatorPreyWebsite/\"\u003earvind6599.github.io/PredatorPreyWebsite\u003c/a\u003e\u003c/p\u003e\n\u003ch2 id=\"what-it-does\"\u003eWhat it does\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDetects and classifies animals in video frames in real time\u003c/li\u003e\n\u003cli\u003eTracks movement and infers predator-prey relationships across frames\u003c/li\u003e\n\u003cli\u003eDeployed as a web app with a clean interface for uploading and analyzing footage\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2 id=\"stack\"\u003eStack\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eModel:\u003c/strong\u003e YOLOv7 (fine-tuned on custom dataset)\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eTraining:\u003c/strong\u003e PyTorch\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDeployment:\u003c/strong\u003e GitHub Pages + Python backend\u003c/li\u003e\n\u003c/ul\u003e","title":"Predator-Prey Visual Intelligence"},{"content":"Work in progress. More details coming soon.\n","permalink":"https://arvind6599.github.io/projects/q0/","summary":"\u003cp\u003eWork in progress. More details coming soon.\u003c/p\u003e","title":"Q0"},{"content":"Built at Lauzhack, EPFL\u0026rsquo;s annual hackathon. The project tackled sustainability by analyzing and visualizing carbon footprint data to surface actionable insights.\nLive demo: arvind6599.github.io/Lauzhack4sus\n","permalink":"https://arvind6599.github.io/projects/lauzhack-sustainability/","summary":"\u003cp\u003eBuilt at Lauzhack, EPFL\u0026rsquo;s annual hackathon. The project tackled sustainability by analyzing and visualizing carbon footprint data to surface actionable insights.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLive demo:\u003c/strong\u003e \u003ca href=\"https://arvind6599.github.io/Lauzhack4sus/\"\u003earvind6599.github.io/Lauzhack4sus\u003c/a\u003e\u003c/p\u003e","title":"Lauzhack Sustainability"},{"content":"A data analysis project built for EPFL\u0026rsquo;s Applied Data Analysis course. We dug into IMDB data to find patterns in what makes movies succeed — genre trends, rating distributions, box office vs. critical reception, and more.\nLive demo: arvind6599.github.io/datastory\n","permalink":"https://arvind6599.github.io/projects/ada-datastory/","summary":"\u003cp\u003eA data analysis project built for EPFL\u0026rsquo;s Applied Data Analysis course. We dug into IMDB data to find patterns in what makes movies succeed — genre trends, rating distributions, box office vs. critical reception, and more.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLive demo:\u003c/strong\u003e \u003ca href=\"https://arvind6599.github.io/datastory/\"\u003earvind6599.github.io/datastory\u003c/a\u003e\u003c/p\u003e","title":"ADA Datastory — Movie Analysis"}]